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Hi Tatyana,
We observed a better classification result using RBFNetwork classifier. The result is showing as below:
=== Stratified cross-validation ===
=== Summary ===
Correctly Classified Instance…
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The naive prediction in Chapter 15 reproduced below is incorrect. It also raises a visual red flag because the error from the network was about 10x smaller (about 0.027). Quoting from Chapter 15, http…
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Hello,
I am trying to use the `MeanLin` function but keep running into method errors.
I saw that these issues related to `MeanLin` were opened and closed, but I have been unable to recreate t…
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안녕하세요 코드스테이츠 동료 여러분.
오늘은 회귀모델의 평가지표들 중 가장 널리쓰이는 RMSE(Root Mean Squared Error)와 MAE(Mean Absolute Error)에 대해 비교해 보았습니다.
아래 링크를 참조 부탁드립니다.
[회귀모델의 평가지표](https://conanmoon.medium.com/%EB%8D%B0%EC…
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Hi
packaging a new version for transitioning to IM7 I get the following test failure
```
1) testRotShearScale(magicktest.TestJMagick)java.lang.RuntimeException: Images had a difference of 337.40…
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Open a non-nominal example
train with any algorithm
You will see an output such as
Correlation coefficient 0.937
Mean absolute error 30846523146.2126
Root mean …
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Hi,
I decided tom tryout the default configuration of the guardian localization example. I am only using the front lidar and therefore edited the launch file a bit (just the lidar area).
First,…
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from an e-mail exchange with @drizzersilverberg:
> 1. Can 'sgd' package perform linear regression task to build a model and predict a set of data using the built model?
>
> 2. If so, can you sho…
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I'm using Keras to train a model in Google Colab. During training, I achieve high performance with a small mean absolute error (MAE) as shown by the training metrics. However, when I use model.predict…
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The second part asks us to report the test mean square errors of models. But the example of the Boston housing data in the textbook and the slide use mean absolute errors for evaluation. I'm wondering…